Folgen
Ivan Selesnick
Ivan Selesnick
Electrical and Computer Engineering, Tandon School of Engineering, New York University
Bestätigte E-Mail-Adresse bei nyu.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
The dual-tree complex wavelet transform
IW Selesnick, RG Baraniuk, NC Kingsbury
IEEE signal processing magazine 22 (6), 123-151, 2005
32172005
Bivariate shrinkage functions for wavelet-based denoising exploiting interscale dependency
L Sendur, IW Selesnick
IEEE Transactions on signal processing 50 (11), 2744-2756, 2002
14842002
Bivariate shrinkage with local variance estimation
L Sendur, IW Selesnick
IEEE signal processing letters 9 (12), 438-441, 2002
8322002
Wavelet transform with tunable Q-factor
IW Selesnick
IEEE transactions on signal processing 59 (8), 3560-3575, 2011
6792011
Hilbert transform pairs of wavelet bases
IW Selesnick
IEEE Signal Processing Letters 8 (6), 170-173, 2001
5152001
The double-density dual-tree DWT
IW Selesnick
IEEE Transactions on signal processing 52 (5), 1304-1314, 2004
4092004
Generalized digital Butterworth filter design
IW Selesnick, CS Burrus
IEEE Transactions on signal processing 46 (6), 1688-1694, 1998
4081998
The design of approximate Hilbert transform pairs of wavelet bases
IW Selesnick
IEEE Transactions on Signal Processing 50 (5), 1144-1152, 2002
3972002
Sparse Regularization via Convex Analysis
I Selesnick
IEEE Transactions on Signal Processing 65 (17), 4481-4494, 2017
3772017
Wavelet based speckle reduction with application to SAR based ATD/R
H Guo, JE Odegard, M Lang, RA Gopinath, IW Selesnick, CS Burrus
Proceedings of 1st international conference on image processing 1, 75-79, 1994
3391994
Resonance-based signal decomposition: A new sparsity-enabled signal analysis method
IW Selesnick
Signal Processing 91 (12), 2793-2809, 2011
2802011
Emerging applications of wavelets: A review
AN Akansu, WA Serdijn, IW Selesnick
Physical communication 3 (1), 1-18, 2010
2602010
Video denoising using 2D and 3D dual-tree complex wavelet transforms
IW Selesnick, KY Li
Wavelets: Applications in Signal and Image Processing X 5207, 607-618, 2003
2562003
Group-sparse signal denoising: non-convex regularization, convex optimization
PY Chen, IW Selesnick
IEEE Transactions on Signal Processing 62 (13), 3464-3478, 2014
2382014
Chromatogram baseline estimation and denoising using sparsity (BEADS)
X Ning, IW Selesnick, L Duval
Chemometrics and Intelligent Laboratory Systems 139, 156-167, 2014
2272014
Signal restoration with overcomplete wavelet transforms: Comparison of analysis and synthesis priors
IW Selesnick, MAT Figueiredo
Wavelets XIII 7446, 107-121, 2009
2222009
Nonconvex sparse regularization and convex optimization for bearing fault diagnosis
S Wang, I Selesnick, G Cai, Y Feng, X Sui, X Chen
IEEE Transactions on Industrial Electronics 65 (9), 7332-7342, 2018
2112018
Constrained least square design of FIR filters without specified transition bands
IW Selesnick, M Lang, CS Burrus
IEEE Transactions on Signal Processing 44 (8), 1879-1892, 1996
2051996
Iterative reweighted least-squares design of FIR filters
CS Burrus, JA Barreto, IW Selesnick
IEEE Transactions on Signal Processing 42 (11), 2926-2936, 1994
2041994
Sparse signal estimation by maximally sparse convex optimization
IW Selesnick, I Bayram
IEEE Transactions on Signal Processing 62 (5), 1078-1092, 2014
2032014
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20